RandIndex: Rand's Index

In ialmodovar/RSynC: Syncytial Clustering Algorithms in R

Description

Computes Rand, adjusted Rand, Fowlkes and Mallows, and Merkin indices.

Usage

RandIndex(id1, id2)

Arguments

id1	first partitioning vector.
id2	second partitioning vector.

Value

R	Rand's index.
AR	adjusted Rand's index.
F	Fowlkes and Mallows index.
M	Mirkin metric.

Author(s)

Volodymyr Melnykov, Wei-Chen Chen, and Ranjan Maitra.

References

Rand, W.M. (1971) “Objective criteria for the evaluation of clustering methods”, Journal of the American Statistical Association, 66:336, 846-850.

Maitra, R. and Melnykov, V. (2010) “Simulating data to study performance of finite mixture modeling and clustering algorithms”, The Journal of Computational and Graphical Statistics, 2:19, 354-376.

Meila, M. (2006) “Comparing clusterings - an information based distance”, Journal of Multivariate Analysis, 98, 873-895.

Melnykov, V., Chen, W.-C., and Maitra, R. (2012) “MixSim: An R Package for Simulating Data to Study Performance of Clustering Algorithms”, Journal of Statistical Software, 51:12, 1-25.

Examples

id1 <- c(rep(1, 50), rep(2,100))
id2 <- rep(1:3, each = 50)
RandIndex(id1, id2)

ialmodovar/RSynC documentation built on Jan. 25, 2020, 8:41 p.m.